Dr.P.M. Dinesh , Ph.D

Dr.P.M. Dinesh , Ph.D
Associate Professor - ECE,
dinesh@sonatech.ac.in,
Teaching - 13 years
Specialization - Texture Classification, Texture Analysis, Language processing

Journals

  1. Rajendran, J.G., Alagarsamy, M., Seva, V., Dinesh, P.M., Rajangam, B. and Suriyan, K., 2023. IoT based tracking cattle health monitoring system using wireless sensors. Bulletin of Electrical Engineering and Informatics, 12(5), pp.3086-3094.
  2. Kumar, K.K., Dinesh, P.M., Rayavel, P., Vijayaraja, L., Dhanasekar, R., Kesavan, R., Raju, K., Khan, A.A., Wechtaisong, C., Haq, M.A. and Alzamil, Z.S., 2023. Brain Tumor Identification Using Data Augmentation and Transfer Learning Approach. Computer Systems Science & Engineering, 46(2).
  3. Selvaraj, V., Alagarsamy, M., Thangaraju, D. and Mani, D.P., 2023. Classification of COVID-19 patient based on multilayer perceptron neural networks optimized with garra rufa fish optimization using CT scan images. International Journal of Pattern Recognition and Artificial Intelligence, 37(06), p.2357003.
  4. Ramya, G., Pounrajan, S., Prasad, D.V.S.S.S.V., Soni, S., Ravichandran, P., Kosanam, K., Gopala Gupta, A.S., Dinesh, P.M., Kumar, L. and Shaik, B., 2022. Assessment of rotational speed and plunge rate on lap shear strength of FSSW joints of AA7075/mild steel. Advances in Materials Science and Engineering, 2022(1), p.6215249.
  5. Shanthi, T., Paramasivam, M.E., Prakash, C., Manju, K., Paul, E., Anand, R., Dinesh, P.M., Sabeenian, R.S. and Raja, D., 2022. Robust fabric defects inspection system using deep learning architecture. Journal of Testing and Evaluation, 50(1), pp.646-655.
  6. Dinesh, P.M. and AS, M.P.M., 2021. Multi Level Safe Security System for ATM Using Face Recognition and GSM Module. NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal| NVEO, pp.1767-1772.
  7. Anandan, P., Paramasivam, M.E., Kavinkumar, K. and Eldho Paul, D.P., 2021. Data Analytics and Resource Planning Using Deep Learning for Overcoming Challenges of Covid-19. Annals of the Romanian Society for Cell Biology, pp.1884-1889.
  8. Shanthi, T., Sabeenian, R.S., Manju, K., Paramasivam, M.E., Dinesh, P.M. and Anand, R., 2021. Fundus image classification using hybridized GLCM features and wavelet features. ICTACT Journal on Image and Video Processing, 11(3), pp.2372-2375.
  9. Paramasivam, M.E., Dinesh, P.M. and Sabeenian, R.S., 2020. Recognition of Tamil Palm-Leaf Manuscript Characters using a two-fold classification system. Solid State Technology, 63(5), pp.9064-9077.
  10. Dinesh, P.M., Paramasivam, M.E. and Sabeenian, R.S., 2020. Text Segmentation Using Morphological Image processing with Adaptive structural Elemen. Solid State Technology, 63(5), pp.8253-8264.
  11. Paramasivam, M.E., Dinesh, P.M. and Sabeenian, R.S., 2020. Color-to-grayscale conversion using the Method of Least Squares. Solid State Technology, 63(5), pp.8238-8241.
  12. Dinesh, P.M., Paramasivam, M.E. and Sabeenian, R.S., 2020. Performance Analysis of Indo-Aryan text classification using ALEX net and VGG-16 Deep Learning Architecture. Solid State Technology, 63(5), pp.7507-7512.
  13. Paramasivam, M.E., Sabeenian, R.S. and Dinesh, P.M., 2020. PERCEPTUALLY WEIGHTED COLOR-TO-GRAYSCALE CONVERSION FOR IMAGES WITH NON-UNIFORM CHROMATIC DISTRIBUTION USING MULTIPLE REGRESSION. ICTACT Journal on Image & Video Processing, 11(2).
  14. Kumar, K.K., Paramasivam, M.E., Anandan, P., Dinesh, P.M. and Sabeenian, R.S., 2020. An Investigation on various Text Information Extraction (TIE) Algorithms for Images. International Journal, 8(9).
  15. P.M.Dinesh Segmentation of Flowers Group Using Neural Network, Journal of Advanced Research in Dynamical and Control Systems 12 (7), 601-604
  16. Dinesh, D.P., 2020. Texture Image Classification Using Hybridization of GLCM and GLWM Features. International Journal of Scientific and Technology Research, 9(04), pp.3216-19.
  17. Dinesh, P.M. and Sabenian, R.S., 2019. Comparative analysis of zoning approaches for recognition of Indo Aryan language using SVM classifier. Cluster Computing, 22(Suppl 5), pp.10955-10962.
  18. C. Rajalakshmi, P.M. Dinesh, K. Manju, T. Shanthi, Woven Fabric Defect Detection Techniques -A Review Jour of Adv Research in Dynamical & Control Systems 11 (Special Issue), 1197
  19. Paul, E., An, R., Karthick, P.V. and Paramasivam, M.E., 2019. Image Contrast Enhancement Using Particle Swarm Optimization. Journal of Advanced Research in Dynamic and Control Systems, 11(04–Special Issue), pp.1192-1196.
  20. D PM, Predictive analysis of snow-slide based on temperature monitoring, International Journal of Recent Technology and Engineering 8 (3), 6327-6330
  21. Sabeenian, R., Paramasivam, M. and Dinesh, P., 2012. Identification and Counting of Fertile Pollen Grains using Morphological operators, FSF and CGF. Int. J. Comput. Appl, 42, pp.36-40.
  22. Sabeenian, R.S., Paramasivam, M.E. and Dinesh, P.M., 2012. Computer vision based defect detection and identification in handloom silk fabrics. International Journal of Computer Applications, 42(17), pp.41-48.
  23. Sabeenian, R.S., Paramasivam, M.E. and Dinesh, P.M., 2012. Fabric defect detection in handlooms cottage silk industries using image processing Techniques. International Journal of Computer Applications, 58(11).
  24. OBUNGA KENNEDY OCHIENG, D.P.D. and MANJU, D., BUILT-IN-SELF CALIBRATION FOR I/Q IMBALANCE IN QUADRATURE MODULATOR. Turkish Journal of Physiotherapy and Rehabilitation, 32, p.2.
  25. Sabeenian, R.S., Paramasivam, M.E. and Dinesh, P.M., 2011. Detection and location of defects in handloom cottage silk fabrics using MRMRFM & MRCSF. International Journal of Technology and Engineering System, 2(2), pp.172-176.

Conferences

  1. Jegadeesan, R., Srinivas, D., Deivakani, M., Joshi, S., Dinesh, P.M. and Kumar, M.J., 2024, April. Design and Analysis of High-Speed Communication Systems for 5G and Beyond. In 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) (pp. 1-4). IEEE.
  2. Dinesh, P.M., Govindaraj, K.K., Manivannan, N., Paramasivam, M.E., William, P. and Alagarsamy, M., 2024, February. Deep Learning-Based Prediction of Knee Innovative Practices. In 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1-6). IEEE.
  3. Dinesh, P.M., Alagarsamy, M., Rameshkumar, K., Pavithra, G. and William, P., 2024, February. Gesture Controlled Vehicle for Armed Service. In 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1-6). IEEE.
  4. Paramasivam, M.E., Dinesh, P.M., Sabeenian, R.S., William, P., Balamurugan, R. and Alagarsamy, M., 2024, February. Smart Question Paper Generator Using Oracle Apex Framework. In 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1-5). IEEE.
  5. Sabeenian, R.S., Somes, R., Surya, A.S., Dinesh, P.M., Paramasivam, M.E. and Alagarsamy, M., 2023, December. RISC V Based Fault Diagnosis Architecture for Skinny Family of Block Ciphers. In 2023 International Conference on Emerging Research in Computational Science (ICERCS) (pp. 1-8). IEEE.
  6. Dinesh, P.M., Sruthi, A.L., Praveen, S. and Manjunathan, A., 2023, March. Word prediction using CNN for ancient manuscripts. In AIP Conference Proceedings (Vol. 2690, No. 1). AIP Publishing.
  7. Dinesh, P.M., Sabeenian, R.S., Lokeshvar, R.G., Paramasivam, M.E., Thanish, S. and Manjunathan, A., 2023. IOT Based Smart Farming Application. In E3S Web of Conferences (Vol. 399, p. 04012). EDP Sciences.
  8. Dinesh, P.M., Kiranisha, A.J., Sabeenian, R.S., Paramasivam, M.E. and Manjunathan, A., 2023. IOT Based Real Time River Water Quality Monitoring and Control System. In E3S Web of Conferences (Vol. 399, p. 04013). EDP Sciences.
  9. Sabeenian, R.S., Kanishka, K., Dinesh, P.M., Paramasivam, M.E. and Manjunathan, A., 2023. Smart Wearable Gadget for Miners Using IOT. In E3S Web of Conferences (Vol. 399, p. 04014). EDP Sciences.
  10. Dinesh, P.M., Bala, Y., Kumar, M., Sabeenian, R.S., Paramasivam, M.E. and Manjunathan, A., 2023. Noise Level Notifier. In E3S Web of Conferences (Vol. 399, p. 04011). EDP Sciences.
  11. Dinesh, P.M., Mukesh, M., Navaneethan, B., Sabeenian, R.S., Paramasivam, M.E. and Manjunathan, A., 2023. Identification of phishing attacks using machine learning algorithm. In E3S Web of Conferences (Vol. 399, p. 04010). EDP Sciences.
  12. Akhila, N., Sirisha, A., Dass, P., Dinesh, P.M., Sujatha, T. and Gaikwad, A.K., 2022, November. Mobile Application for Water Management and Monitoring System in Residential Building. In 2022 International Conference on Futuristic Technologies (INCOFT) (pp. 1-6). IEEE.
  13. Mani, D.P., Sivakumar, M. and Sivakumar, S., 2022, September. Automatic vehicle cognizance identification. In AIP Conference Proceedings (Vol. 2640, No. 1). AIP Publishing.
  14. Paramasivam, M.E., Sabeenian, R.S., Dinesh, P.M., Anand, R. and Paul, E., 2021, May. Color-to-Grayscale Conversion for Images with Non-uniform Chromatic Distribution Using Multiple Regression. In 3rd EAI international conference on big data innovation for sustainable cognitive computing (pp. 49-64). Cham: Springer International Publishing.
  15. Paramasivam, M.E., Sabeenian, R.S., Dinesh, P.M., Anand, R. and Paul, E., 2021, May. Color-to-Grayscale Conversion for Images with Non-uniform Chromatic Distribution Using Multiple Regression. In 3rd EAI international conference on big data innovation for sustainable cognitive computing (pp. 49-64). Cham: Springer International Publishing.
  16. Dinesh, P.M., Kumar, J.H., Sekar, S.C., Swarnambiga, M. and Ranjani, S., 2021, March. A REVIEW ON NATURAL LANGUAGE PROCESSING Report: Statistics and Facts. In IOP Conference Series: Materials Science and Engineering (Vol. 1084, No. 1, p. 012037). IOP Publishing.
  17. Dinesh, P.M., Sujitha, V., Salma, C. and Srijayapriya, B., 2021. A review on natural language processing: back to basics. Innovative Data Communication Technologies and Application: Proceedings of ICIDCA 2020, pp.655-661.
  18. Sabeenian, R.S., Paramasivam, M.E., Selvan, P., Paul, E., Dinesh, P.M., Shanthi, T., Manju, K. and Anand, R., 2021. Gold tree sorting and classification using support vector machine classifier. In Advances in Machine Learning and Computational Intelligence: Proceedings of ICMLCI 2019 (pp. 413-422). Springer Singapore.
  19. Sabeenian, R.S., Paramasivam, M.E., Anand, R. and Dinesh, P.M., 2019. Palm-leaf manuscript character recognition and classification using convolutional neural networks. In Computing and Network Sustainability: Proceedings of IRSCNS 2018 (pp. 397-404). Springer Singapore.
  20. Sabeenian, R.S., Paramasivam, M.E., Dinesh, P.M., Adarsh, R. and Kumar, G.R., 2017, August. Classification of handwritten Tamil characters in palm leaf manuscripts using SVM based smart zoning strategies. In Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing (pp. 18-21).
  21. Sabeenian, R.S., Paramasivam, M.E. and Dinesh, P.M., 2016, March. Appraisal of localized binarization methods on Tamil palm-leaf manuscripts. In 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) (pp. 793-797). IEEE.
  22. Sabeenian, R.S., Paramasivam, M.E. and Dinesh, P.M., 2011. Face Recognition Using Gray Level Weight Matrix (GLWM). In Advances in Power Electronics and Instrumentation Engineering: Second International Conference, PEIE 2011, Nagpur, Maharashtra, India, April 21-22, 2011. Proceedings (pp. 69-72). Springer Berlin Heidelberg.
  23. Sabeenian, R.S. and Dinesh, P.M., 2011, April. Texture image classification using gray level weight matrix (GLWM). In International Conference on Advances in Information Technology and Mobile Communication (pp. 263-266). Berlin, Heidelberg: Springer Berlin Heidelberg.
  24. Dinesh, P.M. and Sabeenian, R.S., 2010, December. Multi format scalable media decoder implementation using OMAP3530. In 2010 IEEE International Conference on Computational Intelligence and Computing Research (pp. 1-4). IEEE.

Book Publication:

Fabric Defect Detection in Handloom Cottage Silk Industries, Publisher : Lambert Academic Publishing.

Research Projects:

  1. Development of Digital Encoding System for Tamil Characters in Palm Leaf Manuscripts. (AICTE CAYT) (CO-PI)
  2. Centre of Excellence for Fabric Defect Detection using Intelligent image analytics (DST FIST) (TEAM Member)
  3. Food safety analyzer: Intelligent Vision Analytics System for defect detection in lentils and peas (FSA – Agri Nanolytix Inc., Canada in Collaboration with Vee Technologies) (CO-PI)
  4. “Word Brain” - Word Prediction for Ancient Manuscripts Using Image Analytics (SONA SEED)(PI)

Patent:

  1. Patent on "A security alert system with random times" Application No: 201941026712 (Granted)
  2. Patent on Application "Method For Identifying Ear Disease Using Deep Learning" Application No: 202241055789 (Filed)
  3. Patent on "A Robust Artificial Intelligence Based Bio- Sensing Wearable for Detection and Diagnosis of COVID-19" Application No: 202241030231
  4. Patent on "A Method Of Preserving Ancient Manuscripts Using Image Analytics And Semantic Technologies" Application No: 202241025387 (Filed)
  5. Patent on "A Robust Artificial Intelligence Based Bio- Sensing Wearable for Detection and Diagnosis of COVID-19" Application No: 202241055789

Membership:

  1. The Institution of Engineers IEI & Associate Member (AM3073206)
  2. ISTE & Associate Member (LM128955)
  3. IETE & Fellow Member (F-237002)
  4. Indian Unit for Pattern Recognition and Artificial Intelligence & Associate Member (L-218)
  5. International Association of Engineers & Associate Member (193824)

Research IDs:
https://vidwan.inflibnet.ac.in/profile/335787
https://scholar.google.com/citations?user=gdotJusAAAAJ
https://www.scopus.com/authid/detail.uri?authorId=57053072600


Awards & Recognitions:

  1. Best Research Paper Award for an article on Multi Format Scalable Media Decoder implementation using OMAP3530 2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) at Tamil Nadu College of Engineering, Coimbatore - 2010
  2. STAFF Awards 2009 Awarded for Remarkable contribution in Research and Development Activities for the year 2009-2010 Sona College of Technology - 2010
  3. STAFF Awards 2012 Awarded for Remarkable contribution in Research and Development Activities for the year 2011-2012 Sona College of Technology - 2012
  4. Best Research Paper Award for an article on Multi Format Scalable Media Decoder implementation using Beagle Board UGC Sponsored the National Conference on Multimedia Signal Processing by the Faculty of Engineering and Technology, Annamalai University, Chidambaram - 2011
  5. Best Research Paper Award for an article on Embedded System Based Engine Switching system National conference on Emerging trends in Signals & Image Processing, Communication, VLSI Design, and Nano Technology (NCSICVN’19) at Sona College of Technology, Salem - 2019
  6. Best Research Paper Award for an article on Texture Image Classification using Hybridization of GLRLM and GLWM Feature International Conference on Signals, Communication and Embedded Systems 2020 (ICSCES 2020), part of Global Technology Forum 2020 organized by ICT Academy - 2020
  7. Young Teachers of Engineering Colleges for the year 2022 ISTE-SGSITS National Award for Young Teachers of Engineering Colleges for the year 2022 Indian Society for Technical Education (ISTE) - 2022
  8. Best Project Award for Exploring the Potential of Smart Band Communication in Health Care and Medical Monitoring Sona College of Technology - 2023
  9. Best Project Award for Building Sustainable Community with Smart Bins. Sona College of Technology - 2023
  10. Best Project Award for Deep Learning Based Prediction of Knee Osteoarthritis. Sona College of Technology - 2024
  11. Young Archiver Award 2024 for Tech Driven Sourashrian Linguistic Research by BVK Foundation - 2024